Sr. Machine Learning Engineer, Sponsored Products and Brands
AmazonSr. Machine Learning Engineer – Sponsored Products and Brands
Amazon Sponsored Products and Brands is seeking a talented Sr. Machine Learning Engineer to join the Global Optimization Science team. The team is at the forefront of advertising technology innovation, working backwards from emerging markets to reimagine Amazon's advertising stack leveraging multilingual and multi-modal GenAI technologies—including semantic hash designs, LLMs, and more—to deliver solutions that scale worldwide from day one.
About the Role
This is an opportunity to be part of a small, high-impact team that prototypes, invents, and ships state-of-the-art solutions that will define the future of digital advertising. You will join a newly-founded team with a broad mandate to experiment and innovate, with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter provides flexibility to explore and apply scientific techniques to novel product problems.
Key Responsibilities
- Architect next-generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one
- Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support
- Drive end-to-end innovation from research ideation through production deployment at Amazon scale
- Lead cross-functional collaboration with product, science, and business teams to translate science into customer impact
About the Team
You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. You will have the opportunity to broaden your technical skills and be a science leader in an environment that thrives on creativity, experimentation, and product innovation.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems
- Experience as a mentor, tech lead, or leading an engineering team
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Bachelor's degree in computer science or equivalent
Ideal Candidate
The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast-moving environments where you define the path forward with minimal structure. You are consistently Right, A Lot when navigating complex technical decisions, demonstrating the rare ability to identify solutions that drive maximum impact with minimal resources. Your GenAI experience goes beyond theoretical knowledge—you have successfully delivered value with state-of-the-art technologies at Amazon scale, understanding both the promise and practical challenges of deploying machine learning in production environments.
Compensation and Benefits
Base Salary Range: $168,100.00 - $227,400.00 USD annually
Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Benefits include:
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
Learn more about our benefits at https://amazon.jobs/en/benefits
Location
USA, WA, Seattle
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
About Amazon
Amazon engages in the retail sale of consumer products, advertising, and subscriptions service through online and physical stores. The company operates three segments: North America, International, and Amazon Web Services (AWS). It manufactures and sells electronic devices, develops and produces media content, and provides compute, storage, artificial intelligence, database, analytics, machine learning, and advertising services.
Interested in this role?
Apply now to join Amazon.